Abstract
In this paper, a robust adaptive control scheme with an intelligent supervisor for vehicle powertrain systems is investigated. The control objectives are to provide smooth shift transients for passenger comfort and to improve components durability. The reaction carrier speed and the turbine speed during the inertia phase are controlled to track their desired speeds, respectively. The boundedness of all signals in the closed loop system and the convergence of the reaction carrier speed error near to zero are guaranteed by applying the Lyapunov stability analysis. The adaptive compensation controller with an intelligent supervisor is implemented to keep the turbine speed error near to, zero and the deviation of the shift duration within an allowable range. The proposed control algorithm is implemented and evaluated on an experimental test setup.
Original language | English (US) |
---|---|
Pages (from-to) | 250-272 |
Number of pages | 23 |
Journal | International Journal of Vehicle Design |
Volume | 32 |
Issue number | 3-4 |
DOIs | |
State | Published - 2003 |
Externally published | Yes |
Keywords
- Adaptive neuro-fuzzy inference system
- Intelligent supervisor
- Robust adaptive control
- Shift quality
- Stability
- Vehicle powertrain system
ASJC Scopus subject areas
- Automotive Engineering
- Mechanical Engineering